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FLAIRS
2006
13 years 9 months ago
Focusing Strategies for Multiple Fault Diagnosis
Diagnosing multiple faults for a complex system is often very difficult. It requires not only a model which adequately represents the diagnostic aspect of a complex system, but al...
Tsai-Ching Lu, K. Wojtek Przytula
IADIS
2004
13 years 9 months ago
National Center of Eco-Business Management CENABIO
This paper describes CENABIO - National Center of Eco-business Management, powered by an intelligent system to support eco-business (SISBIO). By using Artificial Intelligence and ...
Filipe Corrêa da Costa, Hugo Cesar Hoeschl, ...
FLAIRS
2004
13 years 9 months ago
Concurrent Backtrack Search on DisCSPs
A distributed search algorithm for solving distributed constraint satisfaction problems (DisCSPs) is presented. The proposed algorithm is composed of multiple search processes (SP...
Roie Zivan, Amnon Meisels
FLAIRS
2004
13 years 9 months ago
Dynamic Agent-Ordering and Nogood-Repairing in Distributed Constraint Satisfaction Problems
The distributed constraint satisfaction problem (CSP) is a general formalization used to represent problems in distributed multi-agent systems. To deal with realistic problems, mu...
Lingzhong Zhou, John Thornton, Abdul Sattar
FLAIRS
2004
13 years 9 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong
FLAIRS
2004
13 years 9 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
FLAIRS
2004
13 years 9 months ago
Speaker Verification Using Speaker-Specific Prompts
Intra- and inter-speaker information, which include acoustical, speaker style, speech rate and temporal variation, despite their critical importance for the verification of claims...
Yongxin Zhang, Adel Iskander Fahmy, Michael S. Sco...
FLAIRS
2004
13 years 9 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
FLAIRS
2004
13 years 9 months ago
Automatic Generation of Background Text to Aid Classification
We illustrate that Web searches can often be utilized to generate background text for use with text classification. This is the case because there are frequently many pages on the...
Sarah Zelikovitz, Robert Hafner